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The Value of Stealth in the Game of Chess

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AI 2005: Advances in Artificial Intelligence (AI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3809))

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Abstract

We have modified the rules of chess to create a game of imperfect information. By introducing hidden pieces into the game, we have been able to gauge the effect of uncertainty on playing strength. The addition of a hidden white piece led to white winning between 63%-89% of its games. The advantage gained from an invisible piece is dependent on both the type of piece that is hidden, and the search depth at which games are played. Greater search depths increase the value of hidden pieces, although diminishing returns were noted at increased depths. The advantage of a hidden piece is typically greater than the effect of an equivalent extra piece. In this sense, information superiority gained via stealth is a more powerful advantage than additional material. The results indicate that uncertainty arising from hidden pieces profoundly influences outcomes in the game of chess.

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References

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© 2005 Springer-Verlag Berlin Heidelberg

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Smet, P., Gossink, D., Calbert, G. (2005). The Value of Stealth in the Game of Chess. In: Zhang, S., Jarvis, R. (eds) AI 2005: Advances in Artificial Intelligence. AI 2005. Lecture Notes in Computer Science(), vol 3809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11589990_23

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  • DOI: https://doi.org/10.1007/11589990_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30462-3

  • Online ISBN: 978-3-540-31652-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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